Analyst, Fraud Intelligence

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November 12

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Extend

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eCommerce • API • B2B

Extend is a company that helps merchants generate revenue and protect their customers through modern product and shipping protection solutions. They offer protection plans from product failure and accidental damage to shipping issues like porch pirates and damaged deliveries. Extend provides a platform that is easy to integrate with eCommerce platforms like Shopify and BigCommerce. This enables merchants to easily offer protection plans and manage claims, with most being resolved in 90 seconds or less. The company focuses on improving profit margins and enhancing the customer experience by offering easy claim filing and turning customers into long-term advocates.

201 - 500 employees

🛍️ eCommerce

🔌 API

🤝 B2B

📋 Description

• Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse • Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses • Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants • Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams • Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies • Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams

🎯 Requirements

• 2+ years of experience in fraud analytics, ideally within an e-commerce or retail environment • Prior experience in a startup or high-growth environment is preferred • Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field • Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling • Proficiency in SQL and experience in Python (pandas, NumPy, scikit-learn, etc.) • Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes • High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns • Empathetic, humble, and collaborative team player • Candidates must be located within the continental United States.

🏖️ Benefits

• Competitive salary based on experience, with full medical and dental & vision benefits. • Stock in an early-stage startup growing quickly. • Generous, flexible paid time off policy. • 401(k) with Financial Guidance from Morgan Stanley.